Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...

A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Agentic world models are aiding the advancement of AI in mental health. Embodiment and psychological grounding come to the fore. An AI Insider scoop.

With the rapid development of electric vehicles and energy storage systems (ESSs), accurate state-of-health (SOH) estimation for lithium-ion batteries has become crucial for ensuring safety and ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...

The company's AI tool was built to make sense of structured data, an area where large language models struggle.

Will we ensure our AI models continue to learn from the world, or will we let them learn from their own reflection?

Virtual tools that can help manufacturers simulate processes on the shop floor are only a valuable if the information being ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and compliance KUALA LUMPUR, ...